IBP Strategy & Transformational Lead

Job Summary

We are seeking a highly capable Inventory Transformation Process Leader to drive the evolution of our planning and execution ecosystem. This role blends deep systems expertise (SAP IBP) and supply chain systems expertise with strong business judgement and operational pragmatism. The successful candidate will challenge existing planning processes and systems architecture, apply decision-ready data sets, and implement exception-based planning to enable faster, higher-quality decisions.

This role is hands-on and outcome-driven, focused on turning data into action and planning into a true operational decision engine.

This is an exciting time to start this journey, providing the candidate the opportunity to blueprint and drive change. The successful candidate will bring in relevant industry experience, vision for continuous improvements, influencing ability to drive process and solution standardization, and collaboration with various stakeholders to achieve common goals, while delivering consistent and thorough deliverables as required. The ideal candidate will be someone who challenges “how it’s always been done,” is highly analytical, is a hands-on-leader who is equally comfortable at the whiteboard and in system configuration, and who values practical outcomes over theoretical perfection, builds systems that support how people actually work, and can articulate plans and ideas with all levels of the organization.

Strategy & Business Transformation

• Partner with Supply Chain Operations, Finance, Merchandising, Marketing, and IT leaders to redefine and/or optimize end-to-end planning processes, including Demand, Supply, Inventory, and IBP/S&OP
• Translate business strategy into a clear, executable IBP and Inventory Optimization roadmap
• Challenge legacy processes, assumptions, and system designs to improve speed, focus, and decision quality
• Drive measurable business outcomes across service, inventory, cost, and agility

Decision Enablement & Exception-Based Planning

• Design and apply integrated, decision-ready data sets that align demand, supply, inventory, capacity, and financial views
• Shift planning from calendar-driven review cycles to exception-driven workflows using clearly defined thresholds and tolerances
• Ensure exceptions are actionable by defining business meaning, decision ownership, and recommended actions and trade-offs
• Embed decision logic directly into IBP workflows to enable same-day or next-day decisions
• Reduce planner effort by eliminating manual data preparation and focusing attention on the few critical issues that matter most

SAP IBP & Systems Architecture

• Own the solution design and architecture for SAP IBP (Demand, Supply, Inventory Optimization, Response & Supply, and related capabilities)
• Configure SAP IBP to support daily and weekly operational decision cycles, not just monthly IBP cadence
• Design alerts, dashboards, and planning views that clearly answer:
  What changed? Why does it matter? What decision is required now?
• Ensure tight integration between SAP IBP, SAP S/4
  
  HANA (or ECC), BW/HANA, and execution systems to support fast response and closed-loop learning
• Balance SAP standard best practices with practical usability for planners and operators

Data, Analytics & Applied Insights

• Apply forecasting, supply, and inventory analytics to prioritize action, not just improve model accuracy
• Enable rapid scenario analysis and what-if simulations focused on real operational trade-offs (service vs. inventory, cost vs. speed)
• Partner with data and analytics teams to operationalize advanced models into repeatable, explainable decisions
• Focus on speed to insight and decision clarity over analytical complexity

Execution, Delivery & Adoption

• Lead or support IBP and SAP supply chain implementations, enhancements, and upgrades
• Collaborate with internal teams and external partners to deliver high-quality, usable solutions
• Define success metrics and ensure solutions deliver tangible, measurable business value
• Drive adoption through training, governance, and continuous improvement

Decision Speed & Focus

• Decision latency (time from exception detection to decision)
• Exception…